
Enterprise IT Architect
3 days ago
At VisionX Technologies, Inc., we believe in fostering a culture of innovation, collaboration, and continuous learning. We encourage our team members to stay current with the latest developments in cloud infrastructure, DevOps practices, and AI/ML technologies. Our company culture values diversity and inclusion, and we strive to create an environment where everyone can thrive and grow.
Job Description:
As a Senior DevOps Engineer at VisionX Technologies, Inc., you will play a critical role in designing and managing cloud-based infrastructure for AI/ML applications as well as the broader IT infrastructure of a growing organization. You will be responsible for supporting the deployment of generative AI models while overseeing the infrastructure that underpins all our enterprise applications and services.
Key Responsibilities:
- Infrastructure Design:
- Design, implement, and manage scalable, secure, and highly available cloud infrastructure that supports LLM and generative AI model deployment.
- Develop and maintain Infrastructure as Code (IaC) solutions using tools like Terraform, AWS CloudFormation or similar to automate infrastructure provisioning and management across the organization.
- Performance and Scalability:
- Ensure that infrastructure supporting AI models and organizational systems is optimized for high performance and scalability to handle millions of requests and large-scale data processing.
- Implement auto-scaling strategies for both AI and organizational environments to ensure resource efficiency and cost-effectiveness.
- Security and Compliance:
- Establish and enforce security best practices across all organizational infrastructure, ensuring compliance with industry standards and regulations.
- Implement and maintain robust security protocols including network security, data encryption, and identity management.
- Automation and CI/CD:
- Design and implement CI/CD pipelines for AI model deployments and enterprise application updates ensuring continuous integration and delivery.
- Automate routine tasks such as software deployments, system updates, and infrastructure monitoring to reduce manual intervention and increase operational efficiency.
- Monitoring and Incident Management:
- Set up and maintain monitoring logging and alerting systems to ensure the health and performance of infrastructure across the organization.
- Lead incident management and response efforts diagnosing and resolving issues promptly to minimize downtime and impact on the organization.
- Collaboration and Support:
- Work closely with AI/ML teams, software developers, and IT staff to understand infrastructure needs and provide technical support.
- Collaborate with cross-functional teams to ensure smooth integration and operation of AI solutions within the broader organizational infrastructure.
- Innovation and Continuous Improvement:
- Stay current with the latest developments in cloud infrastructure, DevOps practices, and AI/ML technologies.
- Proactively identify opportunities to improve infrastructure, tools, and processes driving innovation and efficiency within the organization.
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